Instructions to use imnbharath/IndicTransLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imnbharath/IndicTransLoRA with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="imnbharath/IndicTransLoRA")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("imnbharath/IndicTransLoRA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80b8a7f15d3090a06bc0241de6c2bcc1b60b7715347460fcf8ad8a6012ea9e58
- Size of remote file:
- 3.26 MB
- SHA256:
- ac9257c8e76b8b607705b959cc3d075656ea33032f7a974e467b8941df6e98d4
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